Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kadri Ibrahim"'
Autor:
Rasha Kadri Ibrahim, Saher Al Sabbah, Muhammed Al-Jarrah, John Senior, Jehad Ali Almomani, Amani Darwish, Faisal Albannay, Ahmad Al Naimat
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Academic stress is a prevalent issue affecting students' well-being and academic achievement in today's challenging educational environment. Furthermore, combining digital literacy and self-regulation enhances emotional intelligen
Externí odkaz:
https://doaj.org/article/4fc09c746ca94f7db24886315f0cf98a
Publikováno v:
BMC Nursing, Vol 22, Iss 1, Pp 1-11 (2023)
Abstract Aims To assess digital capabilities and academic performance among nursing students and investigate the mediating role of students’ self-efficacy. Background In the context of education and technology, digital capabilities, self-efficacy,
Externí odkaz:
https://doaj.org/article/36b1b928371047af9afd3272efa7d0d1
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 24:1469
In this paper, to categorize and detect pneumonia from a collection of chest X-ray picture samples, we propose a deep learning technique based on object detection, convolutional neural networks, and transfer learning. The proposed model is a combinat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b3d645f9786842be0280c5f949f47bc
https://doi.org/10.11591/ijeecs.v24.i3.pp1469-1480
https://doi.org/10.11591/ijeecs.v24.i3.pp1469-1480
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 23:1838
The purpose of this research paper is to develop a black-box accident warning system that utilizes both global system for mobile communication (GSM) and global positioning system (GPS) technologies to identify and deliver a minimum set of data that i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82f3c379e7f6d19f1a52556248f0635a
https://doi.org/10.11591/ijeecs.v23.i3.pp1838-1846
https://doi.org/10.11591/ijeecs.v23.i3.pp1838-1846
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 20:1332
Features extraction is an essential process in identifying person biometrics because the effectiveness of the system depends on it. Multiresolution Analysis success can be used in the system of a person’s identification and pattern recognition. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27fe94635cce860cc99618431f29a19e
https://doi.org/10.11591/ijeecs.v20.i3.pp1332-1341
https://doi.org/10.11591/ijeecs.v20.i3.pp1332-1341